Instructions to use Helsinki-NLP/opus-mt-en-iir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-iir with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-iir")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-iir") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-iir", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 027d598ec7321627380ca48fa6ddf54092d4ce17ccf6cf72b9a0bf3c8ab21d8d
- Size of remote file:
- 306 MB
- SHA256:
- 2df3753a0621728d0bac1f03b3e4c6a0379739f887b850c8f6c4214b907bc2e2
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